Designing a formal dialogue system with personalized explanations for XAI

Abstract

In this thesis it is examined how argumentative dialogues can be adapted for use in Explainable Artificial Intelligence (XAI) and this thesis shows the possibilities on how XAI can be improved in terms of explanation transfer. This is achieved by creating an explanatory dialogue system which integrates findings from the social sciences. In this thesis, requirements of XAI for explanations are examined first. Subsequently, existing formal dialogue systems are discussed and finally, a new formal dialogue system is constructed. This new dialogue system implements various aspects: it allows for different user-types (lay users and experts), it allows for personalized explanations in terms of various question and explanation styles, plus, various explanation functions are usable. Lastly, a user study is performed in which the preferred amount of explanation of participants is measured. The results show that lay users tend to request more explanation than experts